ZJULearning / COP
Code for IJCAI2019 paper
☆46Updated 5 years ago
Alternatives and similar repositories for COP:
Users that are interested in COP are comparing it to the libraries listed below
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2☆102Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 4 years ago
- Codes of Centripetal SGD☆63Updated 2 years ago
- ☆38Updated 6 years ago
- ☆87Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- ☆134Updated 6 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- ☆120Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 2 years ago
- My implementation of RePr training scheme in PyTorch. https://arxiv.org/pdf/1811.07275.pdf☆71Updated 5 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆47Updated last year
- Implementation of NetAdapt☆30Updated 4 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆36Updated 2 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 4 years ago
- ☆45Updated 5 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 5 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 4 years ago
- PyTorch implementation for GAL.☆55Updated 4 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆184Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆166Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 2 years ago
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Updated 6 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆146Updated 6 years ago
- ☆45Updated 5 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago